* Translated by Papago

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KGM Signs LOI to Develop Next-Generation E2E Self-Driving AI Technology

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*This content was translated by AI.

KGM Signs LOI to Develop Next-Generation E2E Self-Driving AI Technology = Photo courtesy = KG Mobility, (Photo from left: CEO Kang Chan-ho of Sodis Co., Ltd., Director of Development/Production Division, KGM Kwon Yong-il, Director of ETRI Choi Jeong-dan)
KGM Signs LOI to Develop Next-Generation E2E Self-Driving AI Technology = Photo courtesy = KG Mobility, (Photo from left: CEO Kang Chan-ho of Sodis Co., Ltd., Director of Development/Production Division, KGM Kwon Yong-il, Director of ETRI Choi Jeong-dan)

KG Mobility (KGM) has signed a letter of intent (LOI) with the Electronics and Telecommunications Research Institute (ETRI) and SODIS Co., Ltd. to develop next-generation end-to-end (E2E) autonomous driving AI technology. At the signing ceremony held at ETRI in Daejeon on the 16th, officials such as KGM Director Kwon Yong-il, ETRI Director Choi Jeong-dan, and CEO of Sodis Kang Chan-ho attended and promised mutual cooperation for the development and commercialization of autonomous AI technology.

Through this cooperation, KGM provides autonomous driving systems, actual road driving data, and driving test infrastructure. ETRI and Sodis will use this to implement general-purpose driving intelligence that allows artificial intelligence to recognize the environment and directly control the vehicle. Unlike existing autonomous driving technologies that have processed recognition, judgment, and control step by step, this study aims at an end-to-end method in which one integrated AI model performs simultaneously from understanding road conditions to determining steering and acceleration.

Multimodal technology, which integrates visual information, linguistic concepts, and context, is applied to technology development to support sophisticated decision-making. Specifically, it includes the development of reinforcement learning self-driving AI SW, which predicts dangerous situations in crowded road environments, and cognitive and judgment AI core technologies for uncertain environments such as bad weather. KGM predicts that ETRI will combine its original national task technology with its actual vehicle data to derive an optimal autonomous model.

A KGM official evaluated that this cooperation will increase product competitiveness by installing advanced autonomous driving functions from the vehicle development stage. The company plans to secure future growth engines and lay the foundation for sustainable growth by upgrading autonomous driving technology and completing the lineup of eco-friendly cars in the future.

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*This content was translated by AI.

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